AdaptGauss 1.3.3

Gaussian Mixture Models (GMM)

Released Mar 15, 2017 by Michael Thrun, Onno Hansen-Goos, Rabea Griese, Catharina Lippmann, Florian Lerch, Jorn Lotsch, Alfred Ultsch

This package cannot yet be used with Renjin it depends on other packages which are not available: shiny 1.0.0, caTools 1.17.1, and ggplot2 2.2.1


caTools 1.17.1 shiny 1.0.0 ggplot2 2.2.1

Multimodal distributions can be modelled as a mixture of components. The model is derived using the Pareto Density Estimation (PDE) for an estimation of the pdf. PDE has been designed in particular to identify groups/classes in a dataset. Precise limits for the classes can be calculated using the theorem of Bayes. Verification of the model is possible by QQ plot, Chi-squared test and Kolmogorov-Smirnov test. The package is based on the publication of Ultsch, A., Thrun, M.C., Hansen-Goos, O., Lotsch, J. (2015) .



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